MA 41600, Fall 2014
Course Description
Credit Hours: 3.00. (STAT 416) An introduction to mathematical probability suitable as a preparation for actuarial science, statistical theory, and mathematical modeling. General probability rules, conditional probability and Bayes theorem, discrete and continuous random variables, moments and moment generating functions, joint and conditional distributions, standard discrete and continuous distributions and their properties, law of large numbers and central limit theorem. Typically offered Fall Spring.
Instructor Info.
Section | Room | Time | Instructor | Office | |
---|---|---|---|---|---|
MA 41600 001 | REC 122 | 10:30am | TR | Shang, Zuofeng | No Office |
MA 41600 131 | REC 114 | 3:00pm | TR | Misiats, Oleksandr | MATH 726 |
MA 41600 151 | UNIV 003 | 9:30am | MWF | Ward, Mark | No Office |
MA 41600 152 | REC 227 | 1:30pm | TR | Misiats, Oleksandr | MATH 726 |
MA 41600 155 | REC 309 | 12:30pm | MWF | Shang, Zuofeng | No Office |
Course Materials
testingSection | Type | Title | Author |
---|---|---|---|
001 | Textbook | Probability and Statistics (4) | Morris H. DeGroot,Mark J. Schervish |
155 | Textbook | A first course in probability | Sheldon M. Ross |
151 | Textbook | A Student-friendly Introduction to Probability | Ward, Mark Daniel,Ellen Gundlach |
152 | Textbook | A First Course in Probability (9th) | Ross |
152 | Textbook | A first course in probability (8) | Sheldon M. Ross |
131 | Textbook | A first course in probability (8) | Sheldon M. Ross |
131 | Textbook | A First Course in Probability (9th) | Ross |
Important Notes
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